{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "patch vulnerability", "trigger": true, "arguments": ["vulnerable system", "releaser", "vulnerable system version", "common vulnerabilities and exposures", "time", "issues addressed", "patch number", "vulnerability"]}, {"event_type": "phishing", "trigger": true, "arguments": ["attacker", "damage amount", "time", "tool", "victim", "attack pattern", "purpose", "place", "trusted entity"]}, {"event_type": "data breach", "trigger": true, "arguments": ["tool", "damage amount", "number of victim", "number of data", "victim", "attack pattern", "compromised data", "purpose", "attacker", "time"]}, {"event_type": "ransom", "trigger": true, "arguments": ["time", "tool", "victim", "payment method", "attack pattern", "price", "place"]}], "input": "A few weeks ago , we charged three Chinese nationals for hacking , theft of trade secrets and identity theft ."}
{"patch vulnerability": [], "phishing": [], "data breach": [{"trigger": "hacking", "arguments": {"tool": "NAN", "damage amount": "NAN", "number of victim": "NAN", "number of data": "NAN", "victim": "NAN", "attack pattern": "NAN", "compromised data": "NAN", "purpose": "NAN", "attacker": "Chinese nationals", "time": "NAN"}}], "ransom": []}